TY - JOUR
T1 - Feasible solution criterion of power generation optimal scheduling and its solution
AU - Wu, Lei
AU - Zhai, Qiao Zhu
AU - Guan, Xiao Hong
PY - 2004/1/5
Y1 - 2004/1/5
N2 - Power generation optimal scheduling is a classical complex mixed integer programming problem. Although Lagrangian relaxation is one of the most successful method, the obtained schedules in the dual solution by Lagrangian relaxation are generally infeasible for original problem, to obtain feasible solution firstly a feasible commitment should be achieved, on this basis only by adjusting the outputs of the units being operated all of the systematic constraints can be satisfied. Here, at first the problems in existing feasible conditions are analyzed and a feasible condition which is easy to examine is put forward and it is proved that this condition is necessary and sufficient, then the systematic approach to obtain feasible solution is presented.
AB - Power generation optimal scheduling is a classical complex mixed integer programming problem. Although Lagrangian relaxation is one of the most successful method, the obtained schedules in the dual solution by Lagrangian relaxation are generally infeasible for original problem, to obtain feasible solution firstly a feasible commitment should be achieved, on this basis only by adjusting the outputs of the units being operated all of the systematic constraints can be satisfied. Here, at first the problems in existing feasible conditions are analyzed and a feasible condition which is easy to examine is put forward and it is proved that this condition is necessary and sufficient, then the systematic approach to obtain feasible solution is presented.
KW - Feasible schedule criterion
KW - Power generation scheduling
KW - Unit commitment
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M3 - Article
AN - SCOPUS:2542457730
SN - 1000-3673
VL - 28
SP - 1
EP - 4
JO - Power System Technology
JF - Power System Technology
IS - 1
ER -